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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
Mahyat Shafapour Tehrany, Biswajeet Pradhan, Mustafa Neamah Jebur
Journal of Hydrology (2014) Vol. 512, pp. 332-343
Open Access | Times Cited: 838

Showing 1-25 of 838 citing articles:

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
Mahyat Shafapour Tehrany, Biswajeet Pradhan, Shattri Mansor, et al.
CATENA (2014) Vol. 125, pp. 91-101
Closed Access | Times Cited: 706
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Bahram Choubin, Ehsan Moradi, Mohammad Golshan, et al.
The Science of The Total Environment (2018) Vol. 651, pp. 2087-2096
Open Access | Times Cited: 653
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Khabat Khosravi, Binh Thai Pham, Kamran Chapi, et al.
The Science of The Total Environment (2018) Vol. 627, pp. 744-755
Closed Access | Times Cited: 641
Review on landslide susceptibility mapping using support vector machines
Yu Huang, Lu Zhao
CATENA (2018) Vol. 165, pp. 520-529
Closed Access | Times Cited: 577
Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS
Omid Rahmati, Aliakbar Nazari Samani, Mohammad Mahdavi, et al.
Arabian Journal of Geosciences (2014) Vol. 8, Iss. 9, pp. 7059-7071
Closed Access | Times Cited: 567
Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece
Nerantzis Kazakis, Ioannis Kougias, Thomas Patsialis
The Science of The Total Environment (2015) Vol. 538, pp. 555-563
Open Access | Times Cited: 554
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
Khabat Khosravi, Himan Shahabi, Binh Thai Pham, et al.
Journal of Hydrology (2019) Vol. 573, pp. 311-323
Closed Access | Times Cited: 546
A novel hybrid artificial intelligence approach for flood susceptibility assessment
Kamran Chapi, Vijay P. Singh, Ataollah Shirzadi, et al.
Environmental Modelling & Software (2017) Vol. 95, pp. 229-245
Closed Access | Times Cited: 529
Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran
Omid Rahmati, Hamid Reza Pourghasemi, Hossein Zeinivand
Geocarto International (2015) Vol. 31, Iss. 1, pp. 42-70
Closed Access | Times Cited: 518
Application of GIS based data driven evidential belief function model to predict groundwater potential zonation
Haleh Nampak, Biswajeet Pradhan, Mohammad Abd Manap
Journal of Hydrology (2014) Vol. 513, pp. 283-300
Open Access | Times Cited: 515
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
Jie Dou, Ali P. Yunus, Dieu Tien Bui, et al.
The Science of The Total Environment (2019) Vol. 662, pp. 332-346
Closed Access | Times Cited: 491
Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi, Pınar Öztürk, Kwok‐wing Chau
Water (2018) Vol. 10, Iss. 11, pp. 1536-1536
Open Access | Times Cited: 474
Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS
Yousef Razandi, Hamid Reza Pourghasemi, Najmeh Samani Neisani, et al.
Earth Science Informatics (2015) Vol. 8, Iss. 4, pp. 867-883
Closed Access | Times Cited: 472
A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique
Khabat Khosravi, Ebrahim Nohani, Maroufinia Edris, et al.
Natural Hazards (2016) Vol. 83, Iss. 2, pp. 947-987
Closed Access | Times Cited: 447
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
Seyed Amir Naghibi, Kourosh Ahmadi, Alireza Daneshi
Water Resources Management (2017) Vol. 31, Iss. 9, pp. 2761-2775
Closed Access | Times Cited: 427
Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis
Omid Rahmati, Hossein Zeinivand, Mosa Besharat
Geomatics Natural Hazards and Risk (2015) Vol. 7, Iss. 3, pp. 1000-1017
Open Access | Times Cited: 398
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
Haoyuan Hong, Mahdi Panahi, Ataollah Shirzadi, et al.
The Science of The Total Environment (2018) Vol. 621, pp. 1124-1141
Closed Access | Times Cited: 375
Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
Haoyuan Hong, Paraskevas Tsangaratos, Ioanna Ilia, et al.
The Science of The Total Environment (2017) Vol. 625, pp. 575-588
Closed Access | Times Cited: 371
Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
Hossein Mojaddadi Rizeei, Biswajeet Pradhan, Haleh Nampak, et al.
Geomatics Natural Hazards and Risk (2017) Vol. 8, Iss. 2, pp. 1080-1102
Open Access | Times Cited: 369
Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
Farnaz Fotovatikhah, Manuel Herrera, Shahaboddin Shamshirband, et al.
Engineering Applications of Computational Fluid Mechanics (2018) Vol. 12, Iss. 1, pp. 411-437
Open Access | Times Cited: 335
Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
Dieu Tien Bui, Biswajeet Pradhan, Haleh Nampak, et al.
Journal of Hydrology (2016) Vol. 540, pp. 317-330
Closed Access | Times Cited: 324
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
Hossein Shafizadeh‐Moghadam, Roozbeh Valavi, Himan Shahabi, et al.
Journal of Environmental Management (2018) Vol. 217, pp. 1-11
Open Access | Times Cited: 320
Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
Mustafa Neamah Jebur, Biswajeet Pradhan, Mahyat Shafapour Tehrany
Remote Sensing of Environment (2014) Vol. 152, pp. 150-165
Closed Access | Times Cited: 301
Flood susceptibility mapping using integrated bivariate and multivariate statistical models
Mahyat Shafapour Tehrany, Moung-Jin Lee, Biswajeet Pradhan, et al.
Environmental Earth Sciences (2014) Vol. 72, Iss. 10, pp. 4001-4015
Closed Access | Times Cited: 301
Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125275-125275
Closed Access | Times Cited: 301
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